The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example shows a way how this can be done.
引用格式
Yi Cao (2024). Neural Network training using the Extended Kalman Filter (https://www.mathworks.com/matlabcentral/fileexchange/18289-neural-network-training-using-the-extended-kalman-filter), MATLAB Central File Exchange. 检索时间: .
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- Control Systems > System Identification Toolbox > Online Estimation >
- AI and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
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参考作品: Learning the Extended Kalman Filter
启发作品: Neural Network training using the Unscented Kalman Filter
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